Benjamin Kühnemuth

656 total citations
11 papers, 293 citations indexed

About

Benjamin Kühnemuth is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Benjamin Kühnemuth has authored 11 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Benjamin Kühnemuth's work include Pancreatic and Hepatic Oncology Research (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 papers). Benjamin Kühnemuth is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 papers). Benjamin Kühnemuth collaborates with scholars based in Germany, Switzerland and United Kingdom. Benjamin Kühnemuth's co-authors include Thomas M. Gress, Patrick Michl, Steffen Ormanns, Heidi Griesmann, Stefan Endres, David Anz, Peter Duewell, Patrick Layritz, Maximilian M. L. Knott and Malte Buchholz and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Oncogene.

In The Last Decade

Benjamin Kühnemuth

11 papers receiving 293 citations

Peers

Benjamin Kühnemuth

ONCOL

IMMUN

MB

CR

SURGE

Yee Peng Phoon United States

Carliann M. Costanzo United States

Sara Cruz Migoni United Kingdom

Zunling Li China

Lijie Rong China

Qinglin Fei China

S Buchholz Germany

Wesley Horton United States

Angelo L. Grauel United States

Felix L. Fennemann Netherlands

Yee Peng Phoon United States

Benjamin Kühnemuth

128 ×0.8

ONCOL

120 ×1.0

IMMUN

150 ×1.3

MB

60 ×1.1

CR

24 ×0.6

SURGE

Citations per year, relative to Benjamin Kühnemuth Benjamin Kühnemuth (= 1×) peers Yee Peng Phoon

Countries citing papers authored by Benjamin Kühnemuth

Since Specialization

Citations

This map shows the geographic impact of Benjamin Kühnemuth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin Kühnemuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Kühnemuth more than expected).

Fields of papers citing papers by Benjamin Kühnemuth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Kühnemuth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin Kühnemuth. The network helps show where Benjamin Kühnemuth may publish in the future.

Co-authorship network of co-authors of Benjamin Kühnemuth

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Kühnemuth. A scholar is included among the top collaborators of Benjamin Kühnemuth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Kühnemuth. Benjamin Kühnemuth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Piseddu, Ignazio, Maximilian M. L. Knott, Stephan Eiber, et al.. (2020). Constitutive Expression of CCL22 Is Mediated by T Cell–Derived GM-CSF. The Journal of Immunology. 205(8). 2056–2065. 16 indexed citations

2.

Kühnemuth, Benjamin, Ignazio Piseddu, Maximilian M. L. Knott, et al.. (2017). CCL22 impedes T cell activation capacities of dendritic cells by reducing membrane expression of MHC molecules and CD80. The Journal of Immunology. 198(Supplement_1). 133.3–133.3. 2 indexed citations

3.

Bauer, Christian, Benjamin Kühnemuth, Peter Duewell, et al.. (2016). Prevailing over T cell exhaustion: New developments in the immunotherapy of pancreatic cancer. Cancer Letters. 381(1). 259–268. 34 indexed citations

4.

Wiedemann, Gabriela M., Maximilian M. L. Knott, Viola Katharina Vetter, et al.. (2016). Cancer cell-derived IL-1α induces CCL22 and the recruitment of regulatory T cells. OncoImmunology. 5(9). e1175794–e1175794. 70 indexed citations

5.

Kühnemuth, Benjamin, Eithne Costello, Victoria Shaw, et al.. (2016). miRNA dynamics in tumor-infiltrating myeloid cells modulating tumor progression in pancreatic cancer. OncoImmunology. 5(6). e1160181–e1160181. 19 indexed citations

6.

Singh, Garima, Alexander Köenig, Geou‐Yarh Liou, et al.. (2015). NFATc1 Links EGFR Signaling to Induction of Sox9 Transcription and Acinar–Ductal Transdifferentiation in the Pancreas. Gastroenterology. 148(5). 1024–1034.e9. 68 indexed citations

7.

Krug, Sebastian, Benjamin Kühnemuth, Heidi Griesmann, et al.. (2014). CUX1: a modulator of tumour aggressiveness in pancreatic neuroendocrine neoplasms. Endocrine Related Cancer. 21(6). 879–890. 14 indexed citations

8.

Kühnemuth, Benjamin & Patrick Michl. (2014). The role of CUX1 in antagonizing NF-κB signaling in TAMs. OncoImmunology. 3(3). e28270–e28270. 5 indexed citations

9.

Kühnemuth, Benjamin, S Ripka, Heidi Griesmann, et al.. (2013). Synthetic Lethality Screen Identifies RPS6KA2 as Modifier of Epidermal Growth Factor Receptor Activity in Pancreatic Cancer. Neoplasia. 15(12). 1354–1362. 31 indexed citations

10.

Kühnemuth, Benjamin, Heidi Griesmann, Albrecht Neeße, et al.. (2013). CUX1 modulates polarization of tumor-associated macrophages by antagonizing NF-κB signaling. Oncogene. 34(2). 177–187. 33 indexed citations

11.

Kühnemuth, Benjamin & Patrick Michl. (2012). CUX1 (cut-like homeobox 1). Atlas of Genetics and Cytogenetics in Oncology and Haematology. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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